docstr: Args:
      bag: bag of sentences with the same entity pair
          [{
            'text' or 'token': ..., 
            'h': {'pos': [start, end], ...}, 
            't': {'pos': [start, end], ...}
          }]
  Return:
      (relation, score)
docstr_tok: ["Args",":","bag",":","bag","of","sentences","with","the","same","entity","pair","[","{","'text","'","or","'token","'",":","...",",","'","h","'",":","{","'pos","'",":","[","start",",","end","]",",","...","}",",","'t","'",":","{","'pos","'",":","[","start",",","end","]",",","...","}","}","]","Return",":","(","relation",",","score",")"]
code: def infer(self, bag):
      """
      Args:
          bag: bag of sentences with the same entity pair
              [{
                'text' or 'token': ...,
                'h': {'pos': [start, end], ...},
                't': {'pos': [start, end], ...}
              }]
      Return:
          (relation, score)
      """
      raise NotImplementedError
  
file_path: OpenNRE/opennre/model/base_model.py
imports: import torch
  from torch import nn
  import json
label_desc: Use image node_id 2 for calling the BagRE obj's underlying member method code with example usage: obj.infer(bag) without return types